ABSTRACT
Machine learning is an automated learning because it automatically detects the hidden insights of the data. This growing field of computer science is mainly used in extracting the required information from a large amount of data. Machine learning systems not only follow the instructions coded but learn from the experience. This is what differentiates machine learning from other intelligent tools. No human being can memorize each minute value of every experiment that the machine learning can. Like face recognition, the system is trained with a machine learning algorithm that the smallest pattern should be remembered. The knowledge is used to perform some action, that may take different forms, depending upon the input. The process of input to transform into output depends upon the type of machine learning algorithm. The project can be loaded anytime and can be modified at any stage. The transparency in the projects can lead to the success of science because of the repetition of executing requirements.
